Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "185"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 185 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 32 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 32 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 185, Node N14:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460015 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.966516 -0.072275 3.223353 0.738774 3.267013 0.041716 -3.094271 -0.882087 0.5806 0.6125 0.3524 nan nan
2460014 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 5.102310 -0.295013 2.776638 0.504895 3.778618 -1.228538 -2.726690 -0.035499 0.5583 0.5957 0.3603 nan nan
2460013 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.932758 -0.228383 3.265015 0.836118 3.274871 0.248528 -3.514524 -0.872907 0.5743 0.6135 0.3611 nan nan
2460012 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.544332 -0.179663 3.101284 0.666477 3.662109 0.296112 -4.153032 -1.304048 0.5768 0.6158 0.3536 nan nan
2460011 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 5.435180 0.681375 4.625718 1.591616 8.064188 2.449025 -2.109868 -1.083849 0.5982 0.6358 0.3481 nan nan
2460010 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 5.918399 -0.030533 4.143954 1.000865 5.097286 -0.453203 -2.821219 -0.535996 0.6161 0.6562 0.3519 nan nan
2460009 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 5.260436 -0.080919 3.977047 0.803587 4.129066 0.468848 -2.764286 -1.157286 0.6153 0.6551 0.3550 nan nan
2460008 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460007 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.702331 -0.344047 3.501874 0.619244 3.032795 -0.278888 -2.045957 -0.822685 0.6197 0.6591 0.3456 nan nan
2459999 RF_maintenance 0.00% 98.83% 98.83% 0.00% - - nan nan nan nan nan nan nan nan 0.3358 0.3605 0.1774 nan nan
2459998 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.239540 -0.066659 3.160213 0.690868 3.894801 -0.064574 -1.855927 0.105604 0.5998 0.6431 0.3816 nan nan
2459997 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.719781 -0.281167 3.540616 0.778838 4.333582 0.077157 -3.199168 -0.848462 0.6058 0.6506 0.3880 nan nan
2459996 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 5.131715 0.254340 3.821906 0.883021 4.249512 0.355758 -2.339906 -0.865468 0.6142 0.6565 0.3939 nan nan
2459995 RF_maintenance 100.00% 99.89% 99.84% 0.00% - - nan nan inf inf nan nan nan nan 0.2682 0.5800 0.4503 nan nan
2459994 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.729406 -0.544355 3.672985 0.714654 4.106423 -0.143877 -0.953928 0.166125 0.6047 0.6512 0.3783 nan nan
2459993 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 5.604988 -0.029261 3.937613 0.920209 5.603003 0.053287 -0.846678 -0.188075 0.5909 0.6490 0.3982 nan nan
2459991 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 5.764828 -0.496191 3.930997 0.956279 4.934498 -0.145196 -1.077146 -0.251114 0.6082 0.6460 0.3858 nan nan
2459990 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 18.170237 -0.191261 -0.698804 -1.210740 6.365185 0.567553 11.826530 0.166991 0.5790 0.6471 0.3687 nan nan
2459989 digital_ok 100.00% 0.00% 0.00% 0.00% - - 20.130087 -0.242901 -0.483167 -0.847926 6.706238 0.569126 10.875027 0.002093 0.5639 0.6464 0.3716 nan nan
2459988 digital_ok 100.00% 0.00% 0.00% 0.00% - - 24.135769 -0.198326 -0.658600 -1.365632 8.806027 -0.042394 7.219434 0.041356 0.5706 0.6497 0.3643 nan nan
2459987 digital_ok 100.00% 0.00% 0.00% 0.00% - - 26.598153 -0.169433 0.095535 -1.060290 7.767140 0.347679 10.875595 0.031952 0.5409 0.6520 0.3637 nan nan
2459986 digital_ok 100.00% 0.00% 0.00% 0.00% - - 32.663687 -0.156982 -0.097012 -1.373958 10.272239 0.070772 6.061531 -1.514027 0.5693 0.6765 0.3228 nan nan
2459985 digital_ok 100.00% 0.00% 0.00% 0.00% - - 38.861307 -0.168317 0.370180 -1.186891 7.547957 0.270563 9.934084 -0.482460 0.5116 0.6536 0.3707 nan nan
2459984 digital_ok 100.00% 0.00% 0.00% 0.00% - - 35.833774 0.106478 1.100227 -1.265024 4.690301 -0.843340 0.069213 -1.029453 0.5291 0.6703 0.3469 nan nan
2459983 digital_ok 100.00% 0.00% 0.00% 0.00% - - 35.431632 -0.364186 -0.242642 -1.368820 10.004185 0.802675 3.789838 -1.387963 0.5547 0.6869 0.3141 nan nan
2459982 digital_ok 100.00% 0.00% 0.00% 0.00% - - 26.500934 0.775852 -0.220159 -0.860410 3.874084 0.746389 0.601528 -0.906093 0.6205 0.7196 0.2696 nan nan
2459981 digital_ok 100.00% 0.00% 0.00% 0.00% - - 32.115758 -0.354401 -0.411832 -1.541670 8.303371 0.594919 10.212853 -0.126000 0.5217 0.6550 0.3710 nan nan
2459980 digital_ok 100.00% 0.00% 0.00% 0.00% - - 31.586581 -0.138184 -0.508008 -1.322074 10.035080 0.271752 1.972652 -1.327666 0.5747 0.6906 0.2959 nan nan
2459979 digital_ok 100.00% 0.00% 0.00% 0.00% - - 32.508556 -0.270378 -0.571965 -1.303999 7.477958 0.424348 14.293119 0.244265 0.5174 0.6505 0.3764 nan nan
2459978 digital_ok 100.00% 0.00% 0.00% 0.00% - - 30.834923 -0.366357 -0.596054 -1.471840 10.111582 0.641149 12.034314 0.154462 0.5251 0.6491 0.3794 nan nan
2459977 digital_ok 100.00% 0.00% 0.00% 0.00% - - 32.906225 -0.207342 -0.436253 -1.360468 9.790118 1.158642 5.673199 -0.295663 0.4768 0.6147 0.3408 nan nan
2459976 digital_ok 100.00% 0.00% 0.00% 0.00% - - 34.657766 -0.261288 -0.467208 -1.479126 9.762502 0.862580 7.701088 -0.143420 0.5157 0.6562 0.3672 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 185: 2460015

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 4.966516 -0.072275 4.966516 0.738774 3.223353 0.041716 3.267013 -0.882087 -3.094271

Antenna 185: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 5.102310 5.102310 -0.295013 2.776638 0.504895 3.778618 -1.228538 -2.726690 -0.035499

Antenna 185: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 4.932758 4.932758 -0.228383 3.265015 0.836118 3.274871 0.248528 -3.514524 -0.872907

Antenna 185: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 4.544332 4.544332 -0.179663 3.101284 0.666477 3.662109 0.296112 -4.153032 -1.304048

Antenna 185: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Temporal Variability 8.064188 5.435180 0.681375 4.625718 1.591616 8.064188 2.449025 -2.109868 -1.083849

Antenna 185: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 5.918399 5.918399 -0.030533 4.143954 1.000865 5.097286 -0.453203 -2.821219 -0.535996

Antenna 185: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 5.260436 5.260436 -0.080919 3.977047 0.803587 4.129066 0.468848 -2.764286 -1.157286

Antenna 185: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 185: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 4.702331 4.702331 -0.344047 3.501874 0.619244 3.032795 -0.278888 -2.045957 -0.822685

Antenna 185: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 185: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 4.239540 4.239540 -0.066659 3.160213 0.690868 3.894801 -0.064574 -1.855927 0.105604

Antenna 185: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 4.719781 4.719781 -0.281167 3.540616 0.778838 4.333582 0.077157 -3.199168 -0.848462

Antenna 185: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 5.131715 5.131715 0.254340 3.821906 0.883021 4.249512 0.355758 -2.339906 -0.865468

Antenna 185: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 185: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 4.729406 4.729406 -0.544355 3.672985 0.714654 4.106423 -0.143877 -0.953928 0.166125

Antenna 185: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 5.604988 5.604988 -0.029261 3.937613 0.920209 5.603003 0.053287 -0.846678 -0.188075

Antenna 185: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 5.764828 5.764828 -0.496191 3.930997 0.956279 4.934498 -0.145196 -1.077146 -0.251114

Antenna 185: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
185 N14 RF_maintenance ee Shape 18.170237 -0.191261 18.170237 -1.210740 -0.698804 0.567553 6.365185 0.166991 11.826530

Antenna 185: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 20.130087 -0.242901 20.130087 -0.847926 -0.483167 0.569126 6.706238 0.002093 10.875027

Antenna 185: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 24.135769 -0.198326 24.135769 -1.365632 -0.658600 -0.042394 8.806027 0.041356 7.219434

Antenna 185: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 26.598153 26.598153 -0.169433 0.095535 -1.060290 7.767140 0.347679 10.875595 0.031952

Antenna 185: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 32.663687 -0.156982 32.663687 -1.373958 -0.097012 0.070772 10.272239 -1.514027 6.061531

Antenna 185: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 38.861307 -0.168317 38.861307 -1.186891 0.370180 0.270563 7.547957 -0.482460 9.934084

Antenna 185: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 35.833774 35.833774 0.106478 1.100227 -1.265024 4.690301 -0.843340 0.069213 -1.029453

Antenna 185: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 35.431632 35.431632 -0.364186 -0.242642 -1.368820 10.004185 0.802675 3.789838 -1.387963

Antenna 185: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 26.500934 26.500934 0.775852 -0.220159 -0.860410 3.874084 0.746389 0.601528 -0.906093

Antenna 185: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 32.115758 -0.354401 32.115758 -1.541670 -0.411832 0.594919 8.303371 -0.126000 10.212853

Antenna 185: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 31.586581 -0.138184 31.586581 -1.322074 -0.508008 0.271752 10.035080 -1.327666 1.972652

Antenna 185: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 32.508556 32.508556 -0.270378 -0.571965 -1.303999 7.477958 0.424348 14.293119 0.244265

Antenna 185: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 30.834923 -0.366357 30.834923 -1.471840 -0.596054 0.641149 10.111582 0.154462 12.034314

Antenna 185: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 32.906225 32.906225 -0.207342 -0.436253 -1.360468 9.790118 1.158642 5.673199 -0.295663

Antenna 185: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
185 N14 digital_ok ee Shape 34.657766 -0.261288 34.657766 -1.479126 -0.467208 0.862580 9.762502 -0.143420 7.701088
In [ ]: